Eliminating accidents and risk using AI analytics

This user story showcases how Senoptic’s AI analytics and IoT sensor technology can assist manufacturing organisations in achieving their behaviour-driven strategic goals related to health and safety. By capturing and analysing real-time data on employee behaviour, environmental conditions and equipment usage, Senoptic empowers manufacturers to identify and mitigate risks proactively. Our advanced solutions provide actionable insights that help organisations develop effective health and safety strategies, reduce incidents, enhance employee well-being, and create a safer and more compliant workplace environment.

Behaviour-Driven Strategic Goals

• Minimise H&S incidents: Proactively detect unsafe behaviours and environmental hazards before they lead to accidents or injuries.
• Reduce operational downtime: By preventing incidents, the company can avoid production stoppages caused by accidents, equipment failures, or safety non-compliance.
• Enhance safety compliance: Ensure all staff follow safety protocols consistently, reducing the risk of fines, legal issues, and reputational damage.

Target Behaviour

Identifying unsafe behaviour and potential hazards in a manufacturing environment. The aim is to prevent health and safety (H&S) incidents, reduce risks, and ensure employees comply with safety protocols in high-risk areas.

Current Process

The manufacturing company relies on manual oversight, routine safety checks, and basic monitoring using CCTV and security systems. Safety officers or managers inspect areas, ensuring compliance with health and safety protocols. Incidents are typically addressed reactively after they occur, leading to injuries, production downtime, and compliance concerns.

"Safety officers conduct manual inspections and monitor security systems to ensure compliance with H&S standards."

Future Process with Senoptic

By integrating Senoptic’s AI analytics with the company’s current security systems and IoT sensors, health and safety monitoring becomes proactive and real-time. The AI system detects unsafe behaviours (e.g., lack of PPE, improper equipment use, unauthorised access to hazardous areas), triggering immediate alerts to safety teams. IoT sensors placed in critical zones capture data on temperature, noise, movement, and equipment malfunctions, which the AI system analyses to predict and prevent incidents before they occur.

The AI-driven system detects workers entering a restricted hazardous zone without proper PPE. Within seconds, the safety team receives an alert and can intervene, preventing a potential injury. The AI system also identifies a recurring pattern of near-miss incidents in a particular area and recommends additional safety measures, such as adding IoT sensors to monitor equipment in real-time or adjusting workflows to reduce risks.

• "AI-powered analytics and IoT sensors provide real-time monitoring and alerts, enabling proactive incident prevention and risk management."

Outcomes

• Reduced incidents: With AI analytics monitoring employee behaviour and IoT sensors providing environmental data, health and safety incidents are minimised, leading to fewer injuries and accidents.
• Faster response times: Real-time alerts allow safety teams to intervene immediately when unsafe behaviours or conditions are detected, preventing escalation into more serious incidents.
• Predictive insights: The AI system analyses trends and patterns in unsafe behaviours and environmental conditions, allowing the company to predict when and where incidents are likely to occur and take preemptive actions.
• Improved compliance: With continuous monitoring, the company can ensure that employees adhere to health and safety protocols, reducing risks of violations and associated penalties.

Who Benefits?

Safety Officers and H&S Teams: Gain a powerful tool for proactively monitoring and preventing incidents, improving overall safety performance.

Production Managers: Benefit from fewer disruptions and downtime due to accidents, keeping production schedules on track and avoiding costly stoppages.

Employees: Experience a safer work environment with fewer accidents and injuries, leading to higher morale and trust in workplace safety.

Senior Management: Enjoy reduced risk exposure, fewer compliance issues, and lower insurance premiums due to improved safety records and proactive incident management.

Compliance Authorities/Regulators: Can see enhanced adherence to health and safety regulations, reducing the likelihood of fines or legal actions.

Wider Impact

Safety as a competitive advantage: The company becomes a leader in safety, attracting top talent, partners, and clients who value a strong safety record and proactive incident prevention.

Operational efficiency: Minimising downtime and disruptions due to safety incidents leads to greater productivity and improved profitability while keeping the workforce safe and protected.

Cost savings: Reduced injury-related costs, fewer legal penalties, and lower insurance premiums contribute to long-term financial health and sustainability.

By integrating Senoptic’s AI analytics with existing security infrastructure and IoT sensors, the manufacturing company takes a proactive approach to health and safety, reducing incidents, maintaining compliance, and safeguarding its most valuable asset—its people.

Schedule a consultation now and speak with a Senoptic Health & Safety specialist to learn how Senoptic can help you unlock the full potential of your behaviour data.